Triple

T10837144
Position Surface form Disambiguated ID Type / Status
Subject Laugh Out Loud Network E255789 entity
Predicate hasBrand P1500 FINISHED
Object LOL Network
LOL Network is a digital comedy platform and entertainment brand founded by Kevin Hart that features stand-up specials, original series, and short-form comedic content.
E889278 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LOL Network | Statement: [Laugh Out Loud Network, hasBrand, LOL Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LOL Network
Context triple: [Laugh Out Loud Network, hasBrand, LOL Network]
  • A. Riot Games
    Riot Games is an American video game developer and publisher best known for creating the popular multiplayer online battle arena game League of Legends.
  • B. LPL
    LPL is the commonly used abbreviation for the Libyan Premier League, the top professional football league in Libya.
  • C. LPL
    LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
  • D. LOL
    LOL is a 2006 American independent mumblecore film directed by Joe Swanberg that explores modern relationships and digital communication.
  • E. Blizzard Seoul
    Blizzard Seoul is the South Korean branch of Blizzard Entertainment, overseeing the company’s operations, localization, and esports initiatives in the Korean market.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LOL Network
Triple: [Laugh Out Loud Network, hasBrand, LOL Network]
Generated description
LOL Network is a digital comedy platform and entertainment brand founded by Kevin Hart that features stand-up specials, original series, and short-form comedic content.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LOL Network
Target entity description: LOL Network is a digital comedy platform and entertainment brand founded by Kevin Hart that features stand-up specials, original series, and short-form comedic content.
  • A. Riot Games
    Riot Games is an American video game developer and publisher best known for creating the popular multiplayer online battle arena game League of Legends.
  • B. LPL
    LPL is the commonly used abbreviation for the Libyan Premier League, the top professional football league in Libya.
  • C. LPL
    LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
  • D. LOL
    LOL is a 2006 American independent mumblecore film directed by Joe Swanberg that explores modern relationships and digital communication.
  • E. Blizzard Seoul
    Blizzard Seoul is the South Korean branch of Blizzard Entertainment, overseeing the company’s operations, localization, and esports initiatives in the Korean market.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
NEDg Description generation batch_69dec2534728819095b3693120772da9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec79b1b548190a74312284f98551c completed April 14, 2026, 11:02 p.m.
Created at: April 8, 2026, 9:19 p.m.